{"id":"W4415339849","doi":"10.1016/j.apcatb.2025.126098","title":"Crystalline catalyst-mediated microenvironment engineering boosting CO2 electroreduction to dimethyl carbonate","year":2025,"lang":"en","type":"article","venue":"Applied Catalysis B: Environmental","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"International Science and Technology Cooperation Programme; Higher Education Discipline Innovation Project; China Scholarship Council; National Natural Science Foundation of China; Henan Normal University","keywords":"Polyoxometalate; Catalysis; Adsorption; Faraday efficiency; Dimethyl carbonate; Yield (engineering); Carbonate; Alkali metal","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002640472,0.0005400758,0.0005364548,0.0005102275,0.0002314011,0.000062903,0.0004200473,0.0002040302,0.0002900593],"category_scores_gemma":[0.00002447534,0.0006050317,0.0002466702,0.0007329378,0.0001037562,0.0001255539,0.0003570965,0.0003562688,0.0003393014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089231,"about_ca_system_score_gemma":0.00002684956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000462021,"about_ca_topic_score_gemma":0.00005118007,"domain_scores_codex":[0.9970593,0.00003049129,0.0007156709,0.001011357,0.000465477,0.0007177204],"domain_scores_gemma":[0.9986522,0.000061406,0.0001695946,0.0008596507,0.000007863699,0.0002492843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006867119,0.0002189682,0.0001128336,0.00002332655,0.0003239857,0.00000749954,0.000207311,0.01241181,0.9709997,0.0007604871,0.0005829236,0.01428251],"study_design_scores_gemma":[0.0007809656,0.00007288541,0.002566914,0.0000297639,0.0004165741,0.00002439813,0.0005433867,0.001196517,0.8783424,0.0001562373,0.1150152,0.0008547573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827645,0.000725613,0.006327255,0.0005347047,0.0002674383,0.0009543372,0.00006192592,0.0006317499,0.007732472],"genre_scores_gemma":[0.9936287,0.0001452176,0.001372115,0.0003309691,0.0001500114,0.0004801758,0.001950711,0.00009068484,0.001851436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1144323,"threshold_uncertainty_score":0.9996401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002809945348011597,"score_gpt":0.1853043026798256,"score_spread":0.182494357331814,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}